algorithmic trading
DESCRIPTION
An example of algorithmic trading using Apple stockTRANSCRIPT
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MABDA - Master in Big Data Analytics
BusinessSchool
Financial EconomicsProf. Nicola Borri______________________
MABDAProblem Set 1
Team Romeo Vimal, Loris Giaimis
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The Algorithm
START
LIQUIDITY > 0BUY STOCKS
DONT BUY STOCKS
PRICE PERFORMANCEDO NOTHING
SELL -50%
DO NOTHING
END
Decrease -0,1% in 5 days
Start again
If the price increased in 5 days
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PAST
METRICSTrading
SOME ANALYSIS 2007-2011
0
10
20
30
40
50
60
70
01/03/2007 01/03/2008 01/03/2009 01/03/2010 01/03/2011
APPLE - PRICE HIGH @AAPL(PH)
Max Price Max Daily Fluctuation
60,9571 13%
Min Price Min Daily Fluctuation
11,7143 -12%
Standard Deviation
13,8484
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PERFORMANCES 31-12-2011 / 31-12-2012
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200.000,00
400.000,00
600.000,00
800.000,00
1.000.000,00
1.200.000,00
1.400.000,00
1.600.000,00
1.800.000,00
2.000.000,00
Daily Result
Daily Result SD
INITIAL EQUITY TOTAL RETURN PERFORMANCE
1.000.000 1.316.099,49 32%
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PERFORMANCES UNTIL NOW
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500.000
1.000.000
1.500.000
2.000.000
2.500.000
Daily Return Standard Deviation
Initial Equity Total Return Performance
1.000.000,00 2.196.222 120%
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